Dark Mode
COVID-19 Bangladesh Daily Statistics
Patient Health Records & Digital Health
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
provides datewise updated statistics regarding the COVID-19 pandemic specifically for Bangladesh. It tracks the daily progression of the virus, including critical metrics such as confirmed cases, deaths, recoveries, and quarantine status. The data was gathered to assist data science and research communities globally in combating the pandemic. Its primary purpose is to help the local community gain meaningful insight and identify patterns of the pandemic, which may contribute to saving lives.
Columns
The dataset contains 14 columns, offering detailed metrics on the pandemic's status:
- Date: The specific date for the recorded data entry.
- Confirmed: The number of confirmed cases.
- Recovered: The number of recovered cases.
- Deaths: The number of death cases.
- Quarantine: The number of quarantined cases.
- Released From Quarantine: The number of released quarantine cases.
- total_confirmed: The number of total confirmed cases.
- total_recovered: The number of total recovered cases.
- total_deaths: The number of total death cases.
- new_confirmed: The number of new confirmed cases.
- new_deaths: The number of new death cases.
- active: The number of active cases.
- daily_collected_sample: The number of daily collected samples.
- infectionRate(%): The percentage of the infection rate.
- recoveryRate(%): The percentage of the recovery rate.
- mortalityRate(%): The percentage of the mortality rate.
- total_quarantine: The number of total quarantined people.
- now_in_quarantine: The number of people currently in quarantine.
- released_from_quarantine: The number of people released from quarantine.
Distribution
The raw data is typically stored in a CSV file format, named COVID-19-Bangladesh.csv, with a file size of 2.92 kB. It contains 46 records or rows and 14 distinct columns. Data is updated, with an expected update frequency of weekly.
Usage
This data is ideal for generating meaningful insights and finding patterns related to the virus's spread in Bangladesh. Potential uses include performing time series calculations, analysing the factors influencing the pandemic in the region, and collaborating with others to merge this data with other relevant datasets.
Coverage
The dataset focuses entirely on COVID-19 statistics within Bangladesh. The time range covered includes data taken from March 1, 2020, to April 3, 2020. The statistics represent datewise updates concerning confirmed cases, deaths, and quarantines across the nation.
License
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Who Can Use It
The dataset is intended for use by data science and research communities globally who are working to understand and combat the global pandemic. It is also suitable for local community members and researchers looking to derive specific local insights, perform time-series analysis, and study the factors influencing the outbreak within Bangladesh.
Dataset Name Suggestions
- COVID-19 Bangladesh Daily Statistics
- Coronavirus Tracking Data for Bangladesh (March-April 2020)
- Bangladesh Pandemic Case Analysis
Attributes
Original Data Source: COVID-19 Bangladesh Daily Statistics
QUALITYLoading...